M.B.A., MIT Sloan School of Management; A.B., applied mathematics and economics, Harvard University
Summary of Experience
Mr. Weinstein specializes in the application of quantitative methods to real-world problems involving decision-making, strategy, risk management, and litigation. His work at Analysis Group builds on his prior experience, which includes contributing to economics research on 401(k) savings behavior, forecasting consumer demand at Zipcar, and advising foundations and government agencies on how to track and interpret data. At Analysis Group, he has managed the analysis of large transaction-level and claims databases. To help mitigate the risks associated with distributing controlled substances, he has assisted several clients in building algorithms for real-time Suspicious Order Monitoring, for periodic review of unusual dispensing at the pharmacy or prescriber level, and for loss prevention based on inventory data. He has developed flexible damages models used to negotiate high-stakes settlements in litigation related to the False Claims Act, kickbacks, intellectual property, and controlled substance regulation. Mr. Weinstein also has extensive experience supporting leading academic experts, working with cross-functional client teams, and presenting analytical results to top executives and government officials, including those at the Drug Enforcement Administration, Offices of the United States Attorneys, and State Attorneys General.